Výsledky vyhledávání - "Guin, Angshuman"

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Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control

Autor: Kwesiga, Dickness Kakitahi, Vishnoi, Suyash Chandra, Guin, Angshuman, Hunter, Michael

This study integrates Transit Signal Priority (TSP) into multi-agent reinforcement learning (MARL) based traffic signal control. The first part of the study develops adaptive signal control based on MARL for a pair of coordinated intersections in a m

Externí odkaz: http://arxiv.org/abs/2411.19359

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A Framework for Assessing Cumulative Exposure to Extreme Temperatures During Transit Trip

Autor: Fan, Huiying, Lu, Hongyu, Lyu, Geyu, Guin, Angshuman, Guensler, Randall

The combined influence of urban heat islands, climate change, and extreme temperature events are increasingly impacting transit travelers, especially vulnerable populations such as older adults, people with disabilities, and those with chronic diseas

Externí odkaz: http://arxiv.org/abs/2408.04081

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Transit Rider Heat Stress in Atlanta, GA under Current and Future Climate Scenarios

Autor: Fan, Huiying, Lyu, Geyu, Lu, Hongyu, Guin, Angshuman, Guensler, Randall

Transit is a crucial mode of transportation, especially in urban areas and for urban and rural disadvantaged communities. Because extreme temperatures often pose threats to the elderly, members of the disability community, and other vulnerable popula

Externí odkaz: http://arxiv.org/abs/2408.03457

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Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation Environment

Autor: Kwesiga, Dickness, Guin, Angshuman, Hunter, Michael

Model free reinforcement learning (RL) provides a potential alternative to earlier formulations of adaptive transit signal priority (TSP) algorithms based on mathematical programming that require complex and nonlinear objective functions. This study

Externí odkaz: http://arxiv.org/abs/2408.00098

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Dissertation/ Thesis

An Incident Detection Algorithm Based On a Discrete State Propagation Model of Traffic Flow

Autor: Guin, Angshuman

Automatic Incident Detection Algorithms (AIDA) have been part of freeway management system software from the beginnings of ITS deployment. These algorithms introduce the capability of detecting incidents on freeways using traffic operations data. Ove

Externí odkaz: http://hdl.handle.net/1853/5040

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